11 citations · 20 across the 15 of their papers we have counts for
6 papers · 1 filter
GFG -- Gender-Fair Generation: A CALAMITA Challenge
Simona Frenda, Andrea Piergentili, Beatrice Savoldi +7
Gender-fair language aims at promoting gender equality by using terms and expressions that include all identities and avoid reinforcing gender stereotypes. Implementing gender-fair…
SPES: Spectrogram Perturbation for Explainable Speech-to-Text Generation
Dennis Fucci, Marco Gaido, Beatrice Savoldi +3
Spurred by the demand for interpretable models, research on eXplainable AI for language technologies has experienced significant growth, with feature attribution methods emerging a…
What the Harm? Quantifying the Tangible Impact of Gender Bias in Machine Translation with a Human-centered Study
Beatrice Savoldi, Sara Papi, Matteo Negri +2
Gender bias in machine translation (MT) is recognized as an issue that can harm people and society. And yet, advancements in the field rarely involve people, the final MT users, or…
Enhancing Gender-Inclusive Machine Translation with Neomorphemes and Large Language Models
Andrea Piergentili, Beatrice Savoldi, Matteo Negri +1
Machine translation (MT) models are known to suffer from gender bias, especially when translating into languages with extensive gendered morphology. Accordingly, they still fall sh…
A Prompt Response to the Demand for Automatic Gender-Neutral Translation
Beatrice Savoldi, Andrea Piergentili, Dennis Fucci +2
Gender-neutral translation (GNT) that avoids biased and undue binary assumptions is a pivotal challenge for the creation of more inclusive translation technologies. Advancements fo…
Twists, Humps, and Pebbles: Multilingual Speech Recognition Models Exhibit Gender Performance Gaps
Giuseppe Attanasio, Beatrice Savoldi, Dennis Fucci +1
Current automatic speech recognition (ASR) models are designed to be used across many languages and tasks without substantial changes. However, this broad language coverage hides p…